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蛋白质-蛋白质对接中的分子动力学模拟。

Molecular Dynamics Simulations in Protein-Protein Docking.

机构信息

Laboratory of Plant Protein Phosphorylation, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.

Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.

出版信息

Methods Mol Biol. 2024;2780:91-106. doi: 10.1007/978-1-0716-3985-6_6.

DOI:10.1007/978-1-0716-3985-6_6
Abstract

Concerted interactions between all the cell components form the basis of biological processes. Protein-protein interactions (PPIs) constitute a tremendous part of this interaction network. Deeper insight into PPIs can help us better understand numerous diseases and lead to the development of new diagnostic and therapeutic strategies. PPI interfaces, until recently, were considered undruggable. However, it is now believed that the interfaces contain "hot spots," which could be targeted by small molecules. Such a strategy would require high-quality structural data of PPIs, which are difficult to obtain experimentally. Therefore, in silico modeling can complement or be an alternative to in vitro approaches. There are several computational methods for analyzing the structural data of the binding partners and modeling of the protein-protein dimer/oligomer structure. The major problem with in silico structure prediction of protein assemblies is obtaining sufficient sampling of protein dynamics. One of the methods that can take protein flexibility and the effects of the environment into account is Molecular Dynamics (MD). While sampling of the whole protein-protein association process with plain MD would be computationally expensive, there are several strategies to harness the method to PPI studies while maintaining reasonable use of resources. This chapter reviews known applications of MD in the PPI investigation workflows.

摘要

所有细胞成分的协同相互作用构成了生物过程的基础。蛋白质-蛋白质相互作用 (PPIs) 构成了这个相互作用网络的重要组成部分。更深入地了解 PPIs 可以帮助我们更好地理解许多疾病,并导致新的诊断和治疗策略的发展。直到最近,PPI 界面还被认为是不可成药的。然而,现在人们相信界面包含“热点”,可以被小分子靶向。这种策略需要高质量的 PPI 结构数据,而这些数据很难通过实验获得。因此,计算建模可以补充或替代体外方法。有几种用于分析结合伴侣的结构数据和建模蛋白质-蛋白质二聚体/寡聚体结构的计算方法。蛋白质组装体的计算结构预测的主要问题是获得足够的蛋白质动力学采样。可以考虑蛋白质柔性和环境影响的方法之一是分子动力学 (MD)。虽然使用普通 MD 对整个蛋白质-蛋白质相互作用过程进行采样在计算上是昂贵的,但有几种策略可以利用该方法进行 PPI 研究,同时合理利用资源。本章回顾了 MD 在 PPI 研究工作流程中的已知应用。

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